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... temporal correlations of motion in multiple frames. Unlike STGAT deduces a single correlation representation from the whole observation process, we explicitly keep track of the temporal correlation for each iteration during observation ...
... learning loss. All modules in the architecture are trained end-to-end by maximizing segmentation accuracy on annotated VOS ... using both databases YoutubeVOS2019 and The Eighth Visual Object Tracking VOT2020 Challenge Results 587.
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... Learning Techniques Applied in Smart Transportation Application Model Traffic flow prediction DBN , SAE Short - term traffic prediction LSTM Crowd flow prediction CNN Real - time object RPN , YOLO , SSD detection Object tracking RNN ...
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... uses the local correlation network to model between the target and the surrounding environment and extends it to the temporal dimension, enhancing the feature representation. QDTrack [18] propose quasi-dense contrastive learning, which ...